Machine learning - prototype MLNG

(new)

Developing systems that learn through experience and by the use of data.

Guidance notes

(new)

Activities include but not limited to...

  • evaluating trained models for their performance, robustness, and bias,
  • selecting and using of metrics to examine outcomes.
  • diagnosing and resolving issues, before and after deployment.
  • anticipating the organisational implications of machine learning models regarding ethics, bias, privacy, and data protection.
  • establishing traceability for the outcomes produced by machine learning systems.

Machine learning - prototype: Level 6

(new)

Leads the development of new approaches and organisational capabilities to design, train, and evaluate machine learning systems. Sets standards and approaches for the application and traceability of machine learning systems to business problems, and oversees their implementation. Designs and oversees organisational policies on the creation, training and use of machine learning systems.

Machine learning - prototype: Level 5

(new)

Designs, implements, tests and improves machine learning architectures and systems. Selects techniques based on a breadth of knowledge of the strengths, weaknesses and expected performance of different approaches. Establishes good practice in the development, evaluation, monitoring and deployment of machine learning systems.

Machine learning - prototype: Level 4

(new)

Given a well-described problem and dataset, can assess whether machine learning is likely to provide an effective solution. Implements algorithms developed by others. Advises on the effectiveness of specific techniques, based on project findings and on knowledge of wider research. Contributes to the development, evaluation, monitoring and deployment of machine learning systems. Understands and applies rules and guidelines specific to the industry, and anticipates risks and other implications of modelling.

Machine learning - prototype: Level 3

(new)

Applies existing machine learning techniques to new problems and datasets. Evaluates the outcomes and performance of machine learning systems. Identifies issues and recommends improvements to machine learning systems and the data they are based on.

Machine learning - prototype: Level 2

(new)

Applies given machine learning techniques to data, under the guidance of technical leadership. Analyses and reports findings and remediates simple issues, using algorithms implemented in standard software frameworks and tools.